Kazumi Koga

744 citations
24 papers · 634 indexed · h-index 11
Topics
Receptor Mechanisms and Signaling (8 papers)Neuropeptides and Animal Physiology (7 papers)Neuroendocrine regulation and behavior (3 papers)
Journals
Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaDiabetes
Partner nations
JapanUnited States

In The Last Decade

Kazumi Koga

21 papers receiving 623 citations

Peers

Kazumi Koga
Comparison fields: 5 of 64
  • Cellular and Molecular Neuroscience 448
  • Molecular Biology 286
  • Surgery 158
  • Social Psychology 131
  • Reproductive Medicine 71
Replace Akira Arimura with:
Akira Arimura United States
Shuhei Tomimoto Japan
S.A. Wank United States
C Macchi Italy
Victoria Scott New Zealand
Robert J. P. Pope United Kingdom
J.L.C. Ch'ng United Kingdom
Patrick Robberecht Belgium
Manuela Händel Germany
J. Besson France
Kazumi Koga relative to Akira Arimura United States Akira Arimura's profile →
Citations per field
00.5×9.3×
Akira Arimura · 1×
Citations per year

Countries citing papers authored by Kazumi Koga

Since Specialization
Citations

This map shows the geographic impact of Kazumi Koga's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kazumi Koga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kazumi Koga more than expected).

Fields of papers citing papers by Kazumi Koga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kazumi Koga. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kazumi Koga. The network helps show where Kazumi Koga may publish in the future.

Co-authorship network of co-authors of Kazumi Koga

This figure shows the co-authorship network connecting the top 25 collaborators of Kazumi Koga. A scholar is included among the top collaborators of Kazumi Koga based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kazumi Koga. Kazumi Koga is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 12
2 9
3 8
4 1
5 13
6 11
7 0
8 17
9 4
10 7
11 2
12 46
13 17
14 11
15 61
16 1
17 1
18
13
19 8
20 1

About Kazumi Koga

Kazumi Koga is a scholar working on Cellular and Molecular Neuroscience, Gastroenterology and Reproductive Medicine, having authored 24 papers that have together received 634 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (8 papers), Neuropeptides and Animal Physiology (7 papers) and Neuroendocrine regulation and behavior (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (448 citations), Behavioral Neuroscience (62 citations) and Endocrine and Autonomic Systems (58 citations). Kazumi Koga has collaborated with scholars based in Japan and United States. Frequent co-authors include Hitoshi Hashimoto, Toshio Matsuda, Shuhei Tomimoto, Akemichi Baba, Norihito Shintani, Wakaba Mori, Kyohei Yamamoto, Megumi Hirose, Fumi Tashiro and Jun‐ichi Miyazaki. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Diabetes.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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